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A boost for Digital Services

Gregory Conte | Siemens Inventors of the Year | Outstanding Invention

You can’t connect analytics to just any customer data

A man lifting a barbell with weights on it.

Gregory Conte is Inventor of the Year 2024: His invention makes smart buildings even smarter.

"Smart buildings can have thousands of data points, sensors, and actuators like thermometers and hygrometers, dampers, and valves," Gregory explains. "To analyze a system, we need as much information as possible about these data points. For example, a thermometer can measure the indoor or outdoor temperature of air, water, and so on. There are labels or tags that are associated with each data point. In general, all the information we need to label data points for analysis is available somewhere in the customer’s data. However, customers use different BMS vendors and have highly variable naming conventions, so there’s no universal direct mapping to the tags, which we need for our analytics tools. Therefore, the onboarding process, especially the correct labelling of data points, has been a tedious manual task."

Onboarding effort reduced by 70 percent

Gregory developed an AI algorithm that partially takes over the labelling task and automatically creates tags for data points; it also specifies a confidence level for each tag. This means that the engineers no longer have to manually tag each point, they only have to check the results generated by the AI and focus on the points with a low confidence level. The algorithm, which was trained using historical data, reduced the onboarding effort by around 70 percent. That’s a remarkable result that strengthens digital services as a growth driver for SI.

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With the help of AI thousands of data points get labeled automatically.